6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Physics-informed deep operator network for traffic state estimation
Zhihao Li, Ting Wang, Guojian Zou +2
Traffic state estimation (TSE) fundamentally involves solving high-dimensional spatiotemporal partial differential equations (PDEs) governing traffic flow dynamics from limited, no…
cs.LG2024★ 6 cited
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
Zhihao Li, Haoze Song, Di Xiao +2
Partial Differential Equations (PDEs) underpin many scientific phenomena, yet traditional computational approaches often struggle with complex, nonlinear systems and irregular geom…